Discover what Syntho is and how to use it effectively in 2025. We'll explore its features and see how it stacks up against other Data Analytics Tools.

Syntho is a self-service platform that uses artificial intelligence to create high-quality synthetic data. It is a smart way to generate data that looks and acts like your real data, but without any sensitive personal information (PII). It’s designed to protect privacy while still giving you useful data. The platform includes the Syntho Engine for generating this data, a PII scanner to keep things private, and different pricing options to fit what you need.
Beyond just creating data, Syntho really backs its customers up. You’ll find plenty of helpful documentation, a ticket system if you run into any issues, and a direct way to get in touch for specific questions. This platform is built for all sorts of industries – healthcare, finance, and public organizations, for example. It helps them get software solutions out faster, build strong data foundations, and create product demos, all while keeping privacy and security front and center.
Syntho uses AI to make sure the synthetic data it creates is accurate and safe. This technology automatically swaps out sensitive PII, keeping your data private. You can also check how good the data is with a built-in quality report. Plus, you can even get external validation from data experts at SAS if you want an extra layer of assurance. The platform offers smart ways to de-identify data, can create time-series synthetic data, generates synthetic mock data, and handles all sorts of data types thanks to the Syntho Engine.
Syntho was developed by a team associated with the company back in 2024. While the founder’s name and specific company details aren’t readily available in the documents, Syntho is a synthetic data platform that launched on June 17, 2024. It offers services like generating synthetic data, providing support features, and helping with data de-identification and sharing. The platform serves various industries, provides quality assessment reports, supports time-series synthetic data, and really focuses on data security and privacy. If you’re curious, you can schedule live demos to get a better feel for what the platform can do.
To get the most out of Syntho, here’s a straightforward way to approach it:
By following these steps, you can effectively use Syntho’s features to generate great synthetic data while making sure it’s accurate, private, and secure. The platform offers a variety of features and support to meet different user needs across various sectors.
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